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Artificial intelligence methods in breakwater damage ratio estimation

✍ Scribed by O. Yagci; D.E. Mercan; H.K. Cigizoglu; M.S. Kabdasli

Publisher: Elsevier Science
Year: 2005
Tongue: English
Weight: 204 KB
Volume: 32
Category: Article
ISSN: 0029-8018
DOI: 10.1016/j.oceaneng.2005.03.004

No coin nor oath required. For personal study only.

✦ Synopsis

The anticipation of damage ratio with an acceptable accuracy is a vital issue in breakwater design. The presented study covers the employment of three different artificial neural network methods and a fuzzy model for this problem. Inputs like mean wave period, wave steepness, significant wave height and the breakwater slope are used as input to estimate the corresponding damage ratio value. All artificial neural network methods and fuzzy logic model provided quite close estimations for the experimental values. The testing stage results were significantly superior to the conventional multilinear regression method in terms of the selected performance criteria.

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